| 1. | An algorithm for weak signal detection in strong noise environment
一种强噪声背景下的微弱信号检测的新方法 |
| 2. | Screened - ratio - principle - based doa estimation algorithm in impulsive noise environment
信号到达角的快速估计算法研究 |
| 3. | Autoregressive model - based robust speech recognition in additive noise environment
基于自回归模型的加性噪声环境稳健语音识别 |
| 4. | This thesis researches the signal stream detection in strong background noise environment
本论文研究的是强噪声背景下信号流检测。 |
| 5. | Effects of precision directional imaging on speech discrimination score under noise environment
智能方向性技术对噪声环境下言语识别率的影响 |
| 6. | 4 . dsss signal buried in the intensive noise environment is first detected successfully using duffing oscillators
对此均作了详细的理论分析,计算机仿真验证了该方法的有效性。 |
| 7. | A 3d fiducial - referential un - esprit algorithm suitable for joint azimuth - elevation - carrier estimation in unknown noise environment
未知噪声背景下的波达方向及载波频率三维联合估计方法 |
| 8. | Simulation results indicate that the proposed algorithm provides better performance in the impulsive noise environment than that of aed algorithm
计算机仿真表明该方法在脉冲噪声环境下具有较好的鲁棒性。 |
| 9. | Experimental results show that the performance of speaker recognition system is improved with the processed speech signal in the noise environments
实验证明，经过降噪处理的语音信号送入说话人识别系统，提高了系统的识别险能。 |
| 10. | How to keep performance of the systems not dropping in a situation that the noise environment changes , further research and practice is necessary
如何在噪声环境发生变化的情况下保持系统性能不下降,将需要进一步的研究和实践。 |
